The article "Examples and Problems in Mathematical Statistics" helps readers learn how to solve statistical problems by providing theory, real-world examples, and exercises. It explains statistical concepts clearly and gives practical examples to illustrate them. The author presents key topics like probability theory, statistical distributions, and hypothesis testing, making it easier for readers to understand and apply statistical methods. This resource is recommended for graduate-level courses and is useful for applied statisticians and researchers looking to improve their problem-solving skills in statistics.